Serverless AI Agents in the Cloud

Abstract

Integrating AI agents within serverless architectures offers a modern approach to deploying and executing intelligent applications. Leveraging the advantages of serverless computing, AI agents can dynamically respond to varying workloads without the overhead of managing the underlying infrastructure. This article explores the concept of scalable serverless AI agents in the cloud, detailing their architecture, benefits and drawbacks, challenges, and real-world applications. The paper provides advantages and drawbacks of the serverless approach. Then a proof-of-concept has been developed, deployed and tested. The AI agent code was deployed to Azure Functions, Google Cloud Functions, and AWS Lambda and tested. As a result, improvements to availability, resilience, reliability, and scalability qualities have been proposed to mitigate the previously defined drawbacks.